Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-R1
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Phi-3.5-mini-instruct
Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
Phi-3.5-mini-instruct
Microsoft
2024-08-23
DeepSeek-R1
DeepSeek
2025-01-20
5 months newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek-R1
Phi-3.5-mini-instruct
Performance Metrics
Context window and performance specifications
DeepSeek-R1
Phi-3.5-mini-instruct
Average performance across 4 common benchmarks
DeepSeek-R1
Phi-3.5-mini-instruct
Performance comparison across key benchmark categories
DeepSeek-R1
Phi-3.5-mini-instruct
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek
Phi-3.5-mini-instruct
Azure
DeepSeek-R1
Phi-3.5-mini-instruct